Analysis Techniques Artificial intelligence for Detection of Cyber Security Risks in a Communication and Information Security

Abstract

The Artificial intelligence Ubiquitous power internet of things (UPIoT) for the Energy Internet not only advances its digital and intelligent level, but also introduces unpredictable social variables, creating a new setting for the emergence and spread of its cyber risks. Proper comprehension and assessment of the UPIoT's cyber security risk is a crucial assurance for Energy Internet Construction. To assess the possible risk, a technique to assess and quantify the cyber security risk of UPIoT is proposed. The network's cyber security risk assessment is assessed along with the significance of the network unit using the AHP method and security status to estimate risk. According to experimental findings, this method is capable of identifying the main network hazards as well as the security state of each network unit. The increased connectivity will also provide threat hackers access to a larger attack surface. Cyber attacks on electricity networks have in the past resulted in widespread blackouts. In this study, we examined the network infrastructure underlying energy grids in order to identify the fundamental factors driving power grid computer networks. A Digital Substation's Communication and Information Security Assessment.